ppi-network

Multi-scale Graph Neural Network for early diagnosis of Alzheimer’s disease using genomic, proteomic, and neuroimaging data.

Comparing different biologically inspired algorithms in hyperparameter tuning in GCN, GAN and GraphSAGE models for link prediction in a protein-protein interaction network. 🧬

Machine Learning-based identification of cervical cancer hub genes using gene expression analysis and protein-protein interaction networks.

Protein–protein interaction network analysis for Type 1 Diabetes from STRING data — degree/betweenness/closeness centrality with NetworkX

GraphSSL-MultiCancer-GFM: Graph Self-Supervised Pretraining on 20 Cancers (TCGA/METABRIC) with ESM-2 Protein LM. Cell Reports Methods (Methods Track) Reproduction Package. FDA Schuirmann-1987 TOST Δ₀=0.002 EQUIVALENT.

凋亡生信图谱：细胞凋亡通路与生信分析流程交互教学站，火山图 / GO-KEGG / GSEA / PPI 浏览器内实时计算。单文件 HTML + D3.js（数据为模拟）

Identifying hub and bottleneck genes in pancreatic cancer (GSE16515) via differential expression analysis (GEO2R) and PPI network topology (STRING, Cytoscape, DAVID). Found FN1, CCNB1, CDK1 as hub genes and 11 bottleneck genes as candidate biomarkers for pancreatic ductal adenocarcinoma.